The Blueprint for AI at Scale: Direct Insights from NVIDIA and VAST Data
Post-GTC 2026, the architecture for production-grade AI has fundamentally shifted. Join this technical briefing to analyze the new design patterns for GPU-accelerated pipelines and inference-optimized storage.
Speakers:
John Mao: VP of Global Business Development & Alliances, VAST Data
Jason Hardy: VP of Storage Technology, NVIDIA
Nicole Hemsoth Prickett: Head of Industry Relations, VAST Data (Host)
This session bypassed the hype to focus on the unified compute-plus-data architectures required for modern AI workloads. We dove into the engineering of accelerated data paths, context-optimized inference, and the deployment of validated Foundation Stacks.
Why You Won't Want to Miss This:
Architectural Clarity: Discover which emerging architectures are winning and why
Workflow Optimization: Learn how AI pipelines can be simplified and accelerated with software and hardware innovations + Foundation Stacks and AI blueprints that enterprises can adopt quickly for production use
A Modernization Roadmap: Get the practical and tactical steps required to future-proof AI-powered innovations
Stop guessing and start building. Gain a definitive understanding of the trends shaping the next generation of AI infrastructure.